achimala/dream-loop
achimala/dream-loop has 1,891 GitHub stars and 191 forks. GitHot measured +112 in 7 days. Last checked 2026-11-10 00:14 UTC. Last push 2026-09-09.
Blender, 이미지 생성, 서브 에이전트 평가를 활용해 인상적인 3D 비주얼을 만드는 에이전트 스킬
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README.md
Originaldream-loop
By @anshuc.
An agent skill that builds a game, app, or scene with impressive visuals, by creating a closed loop:
- AI "dreams" up a high-quality target screenshot using image generation
- AI builds with this target in mind
- A separate AI critic compares the live screenshot to the target and provides feedback
- AI loops back to step 2 until critic is satisfied
- Optionally, AI loops back to step 1 and dreams up an even better target based on the current state.
Installation
npx skills add achimala/dream-loop, or clone into your agent's skills directory, or paste the link into your agent and tell it to figure it out.
Prerequisites
You need an AI agent with:
- access to image generation, either built-in (e.g. Codex, Grok) or via API (e.g. give it a Gemini API key)
- vision input
- subagents (optional but strongly preferred)
Install Blender if you want custom 3D modeling. The Blender MCP or scripting interface is preferred to computer use; it produces better results.
At the moment this is only tested with GPT-6 Astra in Codex. Other strong models like Claude Fable 5.1 can likely work too.
Example
Prompt:
Build me a graphics demo: isometric camera, voxel-ish art style with realistic shading and reflective wet floors, a character in an interesting scene. Fantasy setting (think Elden Ring, Diablo). Three.js in browser, >60fps. Don't download assets. Time limit of 1 hour. Controls: click to move the character, camera lazy-follows; drag to rotate camera; scroll to zoom in/out. No gameplay for now. World should feel alive: motion, animations, subtle environmental behaviors. Area around player should look expansive, but only allow movement in a limited space. No need to confirm the art with me or ask questions, just go!
GPT-6 Astra on high effort in Codex:

Contributing
I'd love to hear feedback, see results, and accept edits to the skill.
If you open a PR, please provide example results produced by the skill, to ensure the changes don't regress performance.